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	<H2>G52IVG Introduction to Vision and Graphics<BR><font size=-1>(Last Updated:03 April 2009)</font>
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<h3>Year &nbsp;09/10</h3>
<p><b>Total Credits:&nbsp;</b>10
<p><b>Level:&nbsp;</b>Level 2
<p><b>Target Students:&nbsp; </b>Second year undergraduate students in the School of Computer Science.&nbsp;<I> Available to JYA/Erasmus students.</I>
<p><b>Taught Semesters:<center></b><TABLE  border='0' CELLSPACING ='3' CELLPADDING='2'><TR><TH>Semester</TH><TH>Assessment</TH></TR><TR><TD>Spring&nbsp;</TD><TD>Assessed by end of Spring Semester&nbsp;</TD></TR></TABLE></center>

<p><b>Prerequisites:&nbsp;</b>Equivalent programming experience and knowledge of mathematics.<p><center><TABLE border='0' CELLSPACING ='3' CELLPADDING='2' ><TR><TH NOWRAP>Mnem</TH><TH>Title</TH></TR><TR><TD ><A HREF='moduledetails.asp?crs_id=010233&year_id=000109'>G51MCS</A>&nbsp;</TD><TD>Mathematics for Computer Scientists&nbsp;</TD></TR><TR><TD ><A HREF='moduledetails.asp?crs_id=012192&year_id=000109'>G51PRG</A>&nbsp;</TD><TD>Programming&nbsp;</TD></TR></TABLE></center></center><P><B>Corequisites:&nbsp;&nbsp;</B>None.</center>

<p><b>Summary of Content: &nbsp;</b><p>
This module gives an introduction to the fields of computer vision and
computer graphics. These two fields have much in common, both being
involved with the process of converting between models and images. In
computer vision we examine the problem of making models from images,
while computer graphics aims to make realistic images from models. Topics
covered include:
<ul>
<li>The human visual system, vision systems, and the graphics pipeline
<li>Image representation in computer systems
<li>Drawing primitives for 2D images
<li>Transformations and filtering of images
<li>Colour models
<li>Camera models and 3D transformations
</ul>
</p>

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<P><B>Method and Frequency of Class: </B><BR><CENTER><TABLE border='0' CELLSPACING ='3' CELLPADDING='2' ><TR><TH  NOWRAP>Activity</TH><TH NOWRAP>Number of sessions</TH><TH NOWRAP>Duration of a session</TH></TR><TR><TD >Lecture&nbsp;</TD><TD align='left'>1 per week</TD><TD align='left'>2 hours </TD></TR><TR><TD >Practical&nbsp;</TD><TD align='left'>1 per week</TD><TD align='left'>1 hour </TD></TR><TR><TD >Computing&nbsp;</TD><TD align='left'>1 per week</TD><TD align='left'>1 hour </TD></TR></TABLE></CENTER><BR>Activities may take place every teaching week of the Semester or only in specified weeks.  It is usually specified above  if an activity only takes place in some weeks of a Semester<BR>
<p><b>Method of Assessment:&nbsp; </b><center><TABLE border='0' CELLSPACING ='3' CELLPADDING='2' ><TR><TH NOWRAP>Assessment Type</TH><TH>Weight</TH><TH>Requirements</TH></TR><TR><TD >Exam 1&nbsp;</TD><TD align='center'>75&nbsp;</TD><TD width='40%' align='center'>2 hr written examination&nbsp;</TD></TR><TR><TD >Coursework 1&nbsp;</TD><TD align='center'>25&nbsp;</TD><TD width='40%' align='center'>Programming assignment&nbsp;</TD></TR></TABLE></center>
<p><b>Convenor:&nbsp;</b><BR>

Dr G Qiu<BR>

<p><b>Education Aims: &nbsp;</b>A general introduction to the common techniques of computer graphics and computer vision. To offer practical experience in writing programs that manipulate images. To introduce the importance of models and their application in both vision and graphics. To provide a set of to provide a basis for further study in the fields.

<p><b>Learning Outcomes: &nbsp;</b><b>Knowledge and understanding:</b> 
Experience implementing programs that manipulate images; derstanding fundamental techniques in computer vision and raphics, and an awareness of their limitations;  appreciation of the underlying mathematical principles of the fields.

<b>Intellectual Skills:</b> 
Apply knowledge of vision and image processing techniques to particular tasks; evaluate different techniques in the context of image manipulation and processing.

<b>Professional Skills:</b> 
Develop a working knowledge of image processing algorithms and libraries; evaluate the applicability of various algorithms and operators to particular tasks.

<b>Transferable Skills:</b> 
Apply knowledge of the methods and approaches presented to problem domains.
<p><b>Offering School:&nbsp; </b>Computer Science

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